Data-driven Methods for Fault Localization in Process Technology
English, Christian Kühnert, 2013More than 10 pieces in stock at supplier
Product details
Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices, the fault can lead to an alarm flood, which hides the original location of the causing device. In this work, several data-driven approaches for root cause localization are proposed, compared, and combined. All methods analyze disturbed process data to backtrack the propagation path.
topic | Mathematics & Natural Sciences |
Language | English |
Author | Christian Kühnert |
Year | 2013 |
Number of pages | 224 |
Book cover | Paperback |
Item number | 8980020 |
Publisher | kit |
Category | Reference books |
Release date | 16.6.2018 |
topic | Mathematics & Natural Sciences |
Language | English |
Author | Christian Kühnert |
Year | 2013 |
Number of pages | 224 |
Book cover | Paperback |
CO₂ emissions | 0.5 kg |
Climate contribution | CHF 0.11 |
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